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    https://sophisticatedspectra.com/article/drosia-serenity-a-modern-oasis-in-the-heart-of-larnaca.2521391.html

    DROSIA SERENITY
    A Premium Residential Project in the Heart of Drosia, Larnaca

    ONLY TWO FLATS REMAIN!

    Modern and impressive architectural design with high-quality finishes Spacious 2-bedroom apartments with two verandas and smart layouts Penthouse units with private rooftop gardens of up to 63 m² Private covered parking for each apartment Exceptionally quiet location just 5–8 minutes from the marina, Finikoudes Beach, Metropolis Mall, and city center Quick access to all major routes and the highway Boutique-style building with only 8 apartments High-spec technical features including A/C provisions, solar water heater, and photovoltaic system setup.
    Drosia Serenity is not only an architectural gem but also a highly attractive investment opportunity. Located in the desirable residential area of Drosia, Larnaca, this modern development offers 5–7% annual rental yield, making it an ideal choice for investors seeking stable and lucrative returns in Cyprus' dynamic real estate market. Feel free to check the location on Google Maps.
    Whether for living or investment, this is a rare opportunity in a strategic and desirable location.

    Mining the Social Web - Twitter

    Posted By: naag
    Mining the Social Web - Twitter

    Mining the Social Web - Twitter
    MP4 | Video: AVC 1280x720 | Audio: AAC 44KHz 2ch | Duration: 40M | 360 MB
    Genre: eLearning | Language: English

    Interested in tapping into Twitter data so you can discover what's trending, what people are talking about, and what feelings are being expressed in people's tweets? This course teaches you how to use a powerful set of tools that will allow you to acquire, analyze, and summarize Twitter data.

    You'll learn the meanings within Twitter's metadata, explore the data mining techniques of frequency analysis and sentiment, and gain experience using Python as a data mining tool. Learners should be familiar with Jupyter Notebooks and be able to install Python packages on their own using the command line.

    Learn how to interpret the metadata that accompanies every Tweet
    Master the ability to connect to the Twitter API using Python
    Acquire real life experience using Python for data mining
    Understand how to perform a frequency analysis of different words, users, or hashtags
    Learn to measure the emotional tone of Tweets by performing a sentiment analysis
    Gain experience downloading live Twitter datastreams and analyzing them for trends

    Mining the Social Web - Twitter